Accuracy & Cost Assessment for Archival Video Transcription Methods

Date

2019-10-24

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Abstract

In order to make archival audiovisual collections more accessible, I have been exploring ways to transcribe content for the University of Houston Libraries Audio/Visual Repository in order to add closed-captioning, utilize synchronized audiovisual-transcript systems, and make available transcripts as data sets. This study examines the accuracy and return on investment of various methods of transcription, including vendor services, artificial intelligence-based software, and library employee-created transcripts. Many libraries and archives are struggling with enormous backlogs of audiovisual content that could be more accessible with transcripts. This small study specifically serves this audience because it includes various types of content common to archives and represents differing quality levels.

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Keywords

transcription, audiovisual archives, closed captions, Transcription, Audio-visual archives, Closed captions

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